ISSN 1086-6566
FEBRuary 22, 2017


Information about the Society for Mathematical Biology, including an
application for membership, may be found in the SMB Home Page,

Access the Bulletin of Mathematical Biology, the official journal of SMB, at

Inquiries about membership or BMB fulfillment should be sent to

Issue's Topics:
  SMB Announces Recipients of its 2017 Awards for Established Scientists
  Special Issue of BMB: Maths to Support Drug Discovery & Development
  Conference: BAMM! Biology and Mathematics through Medicine, May 18-20
  Course: MBL Methods in Computational Neuroscience, Apply by March 7
  EMBO Practical Course: Multi-level modelling of morphogenesis
  NIMBioS Tutorial: Uncertainty Quantification for Biological Models
  CfP: 17th CMMSE Conference, July 4-8, Cadiz
  Workshop: Statistical Analysis of Neural Data, May 31-June 2
  WIREs Syst Biol Med Content Alert: 9, 2 (March/April 2017)
  BBSRC-iCASE 4 Year PhD Studentship, University of Cambridge
  PhD Position: Ecology or Computational Science, Umeå University
  PhD Position: Population and/or Community Ecology, UNB Saint John
  Postdoc: Mathematical Modelling, Roslin Inst, University of Edinburgh
  Postdoc Position: Computational Biology, Systems Medicine, FIAS
  SMBnet Reminders


From: Santiago Schnell <>
Date: Tue, Feb 21, 2017 at 3:43 PM
Subject: SMB Announces Recipients of its 2017 Awards for Established Scientists

The Society for Mathematical Biology is pleased to announce the recipients
of its 2017 Society Awards for established mathematical biologists. These
individuals will be honored at the 2017 Annual Meeting of the Society for
Mathematical Biology, to be held at the University of Utah in Salt Lake
City from July 17-20. The awardees are listed below:

Philip K. Maini, University of Oxford, will receive the Arthur T. Winfree
Prize for his work on mathematical modelling of spatiotemporal processes in
biology and medicine, which has led to significant scientific advances not
only in mathematics, but also in biology and the biomedical sciences. His
mathematical oncology research has provided detailed insight into the design
of combination cancer therapies.

Raymond Mejia, National Heart, Lung, and Blood Institute, will be the
inaugural recipient of the Distinguished Service Award for his extraordinary
service to the Society for Mathematical Biology, including the establishment,
development, and editorship of the Society for Mathematical Biology Digest.

James P. Keener, University of Utah, will be the inaugural recipient of
the John Jungck Prize for Excellence in Education for his authorship of the
textbook "Mathematical Physiology," which has attracted numerous students,
postdoctoral fellows, and established scientists to the field of mathematical
biology. He has also worked to create an exceptional pedagogical environment
conductive to mathematical biology at the University of Utah.

Stacey D. Finley, University of Southern California, will be the inaugural
recipient of the Leah Edelstein-Keshet Prize for her outstanding contributions
to mathematical oncology, particularly for her studies on anti-VEGF treatment
strategies in cancer that combine mathematical models and experiments. Her
work has the potential to make a significant impact on the development of
drugs to target angiogenesis in a wide range of conditions.

The Presidents of the Society for Mathematical Biology and Past and Current
Editor-in-Chief of the Bulletin of Mathematical Biology will be named
inaugural Fellows of the Society. The Society for Mathematical Biology Fellows
Program honors members of the Society who are recognized by the scientific
and scholarly community as distinguished contributors to the discipline.

The Society for Mathematical Biology promotes the development and
dissemination of research and education at the interface between the
mathematical and biological sciences. The Society serves a diverse community
of researchers and educators in academia, in industry, and in government
agencies throughout the world. Through its awards program, the Society
honors its members and recognizes excellence in mathematical biology. For
more information on these awards, the Society, or the 2017 Annual Meeting,


From: Moore, Helen <>
Date: Mon, Feb 20, 2017 at 11:39 PM
Subject: Special Issue of BMB: Maths to Support Drug Discovery & Development

Special Issue of BMB: Mathematics to Support Drug Discovery and Development

The Bulletin of Mathematical Biology (BMB,, the official journal of the Society
for Mathematical Biology, publishes research articles at the interface
of biology and the mathematical sciences.  With the encouragement of the
editors (Alan Hastings and Reinhard Laubenbacher), we are soliciting original
research articles for contribution to a special issue of BMB focusing on the
mathematics being used in the biopharmaceutical (biopharma) industry. The goal
of the issue is to help bridge the gap between academia and the biopharma
industry working in similar areas, by communicating some of the types of
mathematics used in biopharma. Article submissions are requested by June 30,
2017, with completion of reviews, acceptances/rejections, and any needed
revisions by December 31, 2017.

We hope this issue will: help academics in math biology ground their research
in problems with real need; highlight biopharma as an exciting career for
mathematicians who want to see direct impact of their work on patients; and
help foster industrial and academic collaborations in this field. Preference
will be given to submissions that identify, either directly or as a future
challenge, areas for academic and industrial collaboration. We encourage
you to provide sufficient context to your submission as to how the research
presented improves the discovery or development of new therapies, and
the open challenges related to the research that academic groups could be
better suited to undertake. We are especially interested in having original
methodological articles.  

Please let us know by Wednesday, March 15, 2017 if you are interested in
submitting a research article for consideration in this BMB special issue,
and what topic it would be on. Feel free to email us with questions before
then. We hope you will be able to participate.

Best regards,
Richard Allen and Helen Moore
BMB Special Issue Guest Editors and


From: Rebecca A Segal <>
Date: Wed, Feb 15, 2017 at 9:51 AM
Subject: Conference: BAMM! Biology and Mathematics through Medicine, May 18-20

Conference Reminder: BAMM! Biology and Mathematics through Medicine!
May 18-20, 2017

This Biomath conference will be held at Virginia Commonwealth University in
Richmond, VA from Thursday, May 18 to Saturday, May 20, 2016. The conference
will consist of plenary talks, break-out sessions, and a poster session. We
welcome participation from researchers at all academic levels working in
mathematical biology. Travel award funding from SMB has been secured. 
Additional funding is pending.

Abstract submissions are dues soon!

Confirmed plenary speakers:
Shandelle Henson (Andrews University)
Gregory Forest (University of North Carolina, Chapel Hill)
Linda Allen (Texas Tech University)
Doron Levy (University of Maryland, College Park)

Important Dates:
Abstract Submission Deadline 3/1/2017
Registration Deadline 4/10/2017

Organizing Committee:
David Chan, Laura Ellwein, Cheng Ly,Reed Ogrosky, Angela Reynolds, Suzanne
Robertson, and Rebecca Segal



From: Mark Steven Goldman <>
Date: Fri, Feb 17, 2017 at 1:56 AM
Subject: Course: MBL Methods in Computational Neuroscience, Apply by March 7

Applications are open for the Methods in Computational Neuroscience course
at the Marine Biology Laboratory in Woods Hole, MA. The course will run from
July 30 to August 24, 2017, and the online application form can be found at:

The course application deadline is *March 7*.

The course covers a range of topics in computational neuroscience including
neuronal biophysics, neural coding & information processing, circuit
dynamics, learning & memory, motor control, and cognitive processing &
disease. In addition, numerous tutorials and problem sets will cover a
broad range of computational and mathematical modeling methods. The course
strongly emphasizes the collaboration between theory and experiment in
solving neuroscience problems, and lectures will be given by a mixture of
theorists and experimentalists. The final weeks of the course are primarily
reserved for work on projects that students design in collaboration with
the resident faculty. Further information can be found on the MCN website:

2017 Course Directors:
Michale Fee, MIT
Mark Goldman, UC Davis

2017 Confirmed Faculty:
Larry Abbott, Columbia University
Steve Baccus, Stanford University
Carlos Brody, Princeton University
Emery Brown, MIT
Dmitri Chklovskii, Simons Foundation
Uri Eden, Boston University
Bard Ermentrout, University of Pittsburgh
Adrienne Fairhall, University of Washington
Ila Fiete, UT Austin
Loren Frank, UCSF
Stefano Fusi, Columbia University
Jack Gallant, UC Berkeley
Surya Ganguli, Stanford University
Nancy Kopell, Boston University
Eve Marder, Brandeis University
Bartlett Mel, University of Southern California
Jonathan Pillow, Princeton University
Cristina Savin, NYU
Terry Sejnowski, Salk Institute
Sara Solla, Northwestern University
Haim Sompolinsky, Hebrew University
Josh Tenenbaum, MIT
Xiao-Jing Wang, NYU


From: Natalie Wager (JIC) <>
Date: Fri, Feb 17, 2017 at 5:52 AM
Subject: EMBO Practical Course: Multi-level modelling of morphogenesis

16 - 28 July 2017 | Norwich, United Kingdom
Register by: 7 April 2017



From: Catherine Crawley <>
Date: Fri, Feb 17, 2017 at 12:13 PM
Subject: NIMBioS Tutorial: Uncertainty Quantification for Biological Models

**Mar 1 Deadline Approaching**

The National Institute for Mathematical and Biological Synthesis (NIMBioS)
is now accepting applications for its Tutorial, "Uncertainty Quantification
for Biological Models," to be held June 26-28, 2017, at NIMBioS.

Objectives:  This tutorial will focus on uncertainty quantification in
mathematical models in the life sciences and will provide researchers with
the basic concepts, theory, and algorithms necessary to quantify input and
response uncertainties and to perform sensitivity analysis for simulation
models.  Concepts to be covered may include: probability and statistics,
parameter selection techniques, frequentist and Bayesian model calibration,
propagation of uncertainties, quantification of model discrepancy, adaptive
surrogate model construction, high-dimensional approximation, random sampling
and sparse grids, as well as local and global sensitivity analysis. This
tutorial is intended for graduate students, postdocs and researchers in
mathematics, statistics, computer science and biology.

Location: NIMBioS at the University of Tennessee, Knoxville

Co-Organizers: Marisa Eisenberg, School of Public Health, Univ. of
Michigan; Ben Fitzpatrick, Mathematics, Loyola Marymount Univ.; James Hyman,
Mathematics, Tulane Univ.; Ralph Smith, Mathematics, North Carolina State
Univ.; Clayton Webster, Computational and Applied Mathematics (CAM), Oak
Ridge National Laboratory; Mathematics, Univ. of Tennessee

For more information about the tutorial and a link to the online application
form, go to

Participation in NIMBioS tutorials is by application only. Individuals with
a strong interest in the topic are encouraged to apply, and successful
applicants will be notified within two weeks after the application
deadline. If needed, financial support for travel, meals, and lodging is
available for tutorial attendees.

Application deadline: March 1, 2017

The National Institute for Mathematical and Biological Synthesis (NIMBioS)
( brings together researchers from around the world
to collaborate across disciplinary boundaries to investigate solutions to
basic and applied problems in the life sciences. NIMBioS is sponsored by
the National Science Foundation, with additional support from The University
of Tennessee, Knoxville.


From: CMMSE Conference <>
Date: Wed, Feb 15, 2017 at 5:26 AM
Subject: CfP: 17th CMMSE Conference, July 4-8, Cadiz

CMMSE 2017 
17th Conference on Computational and Mathematical Methods in Science and

(including the celebration of the 70th birthday of Prof. Wolfgang Sproessig)

Barceloì Costa Ballena Golf & SPA
July 4-8, Cadiz, Andalucia, Spain.


From: Barbara Dorney <>
Date: Mon, Feb 20, 2017 at 12:23 PM
Subject: Workshop: Statistical Analysis of Neural Data, May 31-June 2

                            REGISTRATION IS NOW OPEN

The eighth international workshop on Statistical Analysis of Neural Data
(SAND8) will take place May 31-June 2, 2017, in Pittsburgh, PA.

Partial travel support is available.    Any young investigator interested
in presenting their work as a talk should submit an abstract by MARCH 6
Requests for travel support are due MARCH 20.  Please see our website:

This workshop series is concerned with analysis of neural data of all
kinds, ranging from anatomy to electrophysiology, to neuroimaging. It
aims to define important problems in neuronal data analysis and useful
strategies for attacking them;  foster communication between experimental
neuroscientists and those trained in statistical and computational methods
encourage young researchers, including graduate students, to present their
work; and expose young researchers to important challenges and opportunities
in this interdisciplinary domain, while providing a small meeting atmosphere
to facilitate the interaction of young researchers with senior colleagues. We
are especially interested in attracting to this workshop people wishing to
learn more about challenges in the analysis of neural data who are females,
under-represented minorities, or persons with disabilities.    The organizers
are Emery Brown, Elizabeth Buffalo, Rob Kass, Liam Paninski, Sri Sarma and
Jonathan Victor. 


From: Wiley Interdisciplinary Reviews <>
Date: Fri, Feb 17, 2017 at 11:18 PM
Subject: WIREs Syst Biol Med Content Alert: 9, 2 (March/April 2017)

Wiley Interdisciplinary Reviews: Systems Biology and Medicine
© Wiley Periodicals, Inc.

Volume 9, Issue 2 Pages , March/April 2017



From: Sara-Jane Dunn <>
Date: Wed, Feb 15, 2017 at 5:34 AM
Subject: BBSRC-iCASE 4 Year PhD Studentship, University of Cambridge

BBSRC-iCASE 4 Year PhD Studentship, University of Cambridge

"Decoding the network logic for resetting pluripotency"

 · Interdisciplinary project at the interface of stem cell research and
computational modelling
 · Delineation of network trajectories for cellular reprogramming at single
cell resolution
 · Combination of wet lab research with mathematical modelling
 · Collaboration between the laboratory of Prof Austin Smith (Wellcome Trust
Medical Research Council Stem Cell Institute) and Microsoft Research Cambridge

Application deadline: 31 March 2017
Start date: 01 Oct 2017
Eligibility: UK nationals and EEA students who have resided in the UK for 3
More information:


From: Åke Brännström <>
Date: Tue, Feb 21, 2017 at 4:51 PM
Subject: PhD Position: Ecology or Computational Science, Umeå University

The Department of Ecology and Environmental Science at Umeå University
invites applications for a PhD position developing dynamical models for
the study of climate impacts on northern lake ecosystems. The applicant can
have a background in either ecology, mathematics, or related fields. For more
information, see

The position will start on May 1, 2017, but this can be negotiated.
The deadline for application is March 9, 2017.


From: Jeff Houlahan <>
Date: Thu, Feb 16, 2017 at 10:16 AM
Subject: PhD Position: Population and/or Community Ecology, UNB Saint John

Ph. D. position with Jeff Houlahan's lab in the Department of Biological
Sciences/The Canadian Rivers Institute, University of New Brunswick Saint
John (UNB Saint John).  

The Houlahan lab is looking for a Ph.D. student interested in fundamental
questions in population and/or community ecology to begin in the fall
of 2017 (although later start dates could be negotiated).  We are happy
to hear from students with a wide range of interests -  some examples of
topics include (i) the relationship between diversity and stability, (ii)
the relative importance of density dependent effects on population dynamics,
and (iii) the stability of competitive hierarchies in nature but we are less
concerned about the question than the approach.  The approach would involve
developing theoretical and/or statistical models that would then be tested
on new data (see Houlahan et al.  2017 in Oikos) to assess the predictive
ability of those models and how predictive ability changes over time and
space.  The successful applicant will have strong quantitative skills,
and more particularly, be somebody who is comfortable analyzing data and
modeling in something like R or Python.  Students will have an opportunity to
improve their analytical and modeling skills, become better grounded in basic
ecology theory, and improve writing, logical thinking and problem-solving
abilities.  We are interested in ecology, environmental science, computer
science and/or mathematics students.  Funding of at least $21,000/year is
guaranteed for 4 years and comes from TA'ships, RA'ships and scholarships.

The University of New Brunswick is a comprehensive university with campuses
in Saint John and Fredericton, New Brunswick, Canada with approximately
10,000 students.  The Houlahan lab is part of the Department of Biological
Sciences and The Canadian Rivers Institute at the Saint John campus.  This
is a vibrant department with a focus on aquatic and marine biology and more
than 50 graduate students.  Saint John is a small (pop $ 68,000) attractive,
coastal city in southern New Brunswick.

If you are interested in the position drop me a note  at 
and attach your cv, transcripts (unofficial or official) and 3 references
with contact info. 

Expiry date: July 1, 2017.


From: LYCETT Samantha <>
Date: Thu, Feb 16, 2017 at 5:46 AM
Subject: Postdoc: Mathematical Modelling, Roslin Inst, University of Edinburgh

Postdoctoral position in mathematical modelling of evolutionary and
epidemiological consequences of vaccination in livestock

We are seeking a highly motivated postdoctoral research fellow to develop
a predictive quantitative framework for assessing the short- and long-term
effectiveness of vaccination programmes in domestic livestock. The successful
candidate will be responsible for developing mathematical models that combine
field and experimental data in order to predict potential evolutionary and
epidemiological consequences of vaccination in farm animals.

The post is available at The Roslin Institute of the University of Edinburgh
in Scotland, under the supervision of Drs. Andrea Doeschl-Wilson and Samantha
Lycett. The Roslin Institute is part of the University of Edinburgh's College
of Medicine and Veterinary Medicine, and is internationally renowned for
its multi-disciplinary research in animal health.

The advertised position is part of the European Horizon2020 project SAPHIR:
Strengthening Animal Production and Health through the Immune Response
The successful candidate will thus interact with other group members and
external collaborators from a variety of backgrounds, such as computational
statistics, quantitative and molecular genetics, immunology and animal
or veterinary science, and will be expected to present the work to an
international audience.

The post-holder must have a PhD in a scientific discipline with
a substantial quantitative component (e.g. mathematics, statistics,
theoretical or computational biology, or physics), together with evidence
of skills in mathematical modelling and writing scientific publications. 
Extensive knowledge in R or other programming languages is required. The
ideal candidate will have experience in modelling biological or ecological
processes and a strong interest in infectious disease dynamics, be autonomous,
organised and collaborative and also possess strong problem solving skills.

The position is full-time (100%) and available for a minimum of 16 months,
with an anticipated starting date of August 2017.

For further information, including details of how to apply, please visit
Vacancy Ref: 038971 Closing Date: 15-Mar-2017

Should you have any informal questions about the project, please contact
Andrea Doeschl-Wilson at,
phone +44 131 6519 224.


From: Esteban Vargas <>
Date: Mon, Feb 20, 2017 at 4:10 PM
Subject: Postdoc Position: Computational Biology, Systems Medicine, FIAS

Postdoc Position in Computational Biology

The new group of Systems Medicine at the Frankfurt Institute for Advanced
Studies invites applications for a PostDoc position in Computational biology.

Major duties:

·  Analyze clinical and experimental data from collaborators using machine
learning and bioinformatics approaches.

·  Publish research findings in scientific journals and present them at
major scientific meetings.


·  A PhD degree in a quantitatively-oriented field, such as engineering,
computer science or applied mathematics.

·  Excellent command of English.

·  Knowledge in analytical and quantitative methods.

·  Experience in MATLAB or R, and LaTex.

·  Knowledge of immunology is a plus.

Please send questions or your application with a motivation letter, outlining
your interest in the position, along with your curriculum vitae which should
include the names and contact details of three referees, to

Positions are open until filled.


Subject: SMBnet Reminders

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